The Effectiveness of Functional Family Therapy for Adolescent Behavioral and Substance Misuse Problems: A Meta‐Analysis

A systematic review of published and unpublished English language articles identified 14 studies containing 18 comparisons between functional family therapy (FFT) and another condition in the treatment of adolescent disruptive behavior and substance use disorders. In 11 of these comparisons, assignment to conditions was random, while nonrandom assignment occurred in seven studies. For both random and nonrandom comparisons, separate meta‐analyses were conducted for subgroups of studies depending on the type of comparison group used. Data from studies of untreated control groups (CTL), treatment as usual (TAU), and well‐defined alternative treatments (ALTs) were analyzed separately. Effect sizes from these six meta‐analyses were as follows: random assignment FFT versus CTL (k = 3, d = 0.48, p < .01); random assignment FFT versus TAU (k = 3, d = .20, ns); random assignment FFT versus ALT (k = 5, d = .35, p < .05); nonrandom assignment FFT versus CTL (k = 2, d = .90, ns); nonrandom assignment FFT versus TAU (k = 2, d = .08, ns); and nonrandom assignment FFT versus ALT (k = 3, d = .75, p < .001). These results provide support for the effectiveness of FFT compared with untreated controls and well‐defined ALTs, such as cognitive behavior therapy, other models of family therapy, and individual and group therapy for adolescents.     

Clinical Decision-Making Following Disasters: Efficient Identification of PTSD Risk in Adolescents

The present study aimed to utilize a Receiver Operating Characteristic (ROC) approach in order to improve clinical decision-making for adolescents at risk for the development of psychopathology in the aftermath of a natural disaster. Specifically we assessed theoretically-driven individual, interpersonal, and event-related vulnerability factors to determine which indices were most accurate in forecasting PTSD. Furthermore, we aimed to translate these etiological findings by identifying clinical cut-off recommendations for relevant vulnerability factors. Our study consisted of structured phone-based clinical interviews with 2000 adolescent-parent dyads living within a 5-mile radius of tornados that devastated Joplin, MO, and northern Alabama in Spring 2011. Demographics, tornado incident characteristics, prior trauma, mental health, and family support and conflict were assessed. A subset of youth completed two behavioral assessment tasks online to assess distress tolerance and risk-taking behavior. ROC analyses indicated four variables that significantly improved PTSD diagnostic efficiency: Lifetime depression (AUC = .90), trauma history (AUC = .76), social support (AUC = .70), and family conflict (AUC = .72). Youth were 2–3 times more likely to have PTSD if they had elevated scores on any of these variables. Of note, event-related characteristics (e.g., property damage) were not related to PTSD diagnostic status. The present study adds to the literature by making specific recommendations for empirically-based, efficient disaster-related PTSD assessment for adolescents following a natural disaster. Implications for practice and future trauma-related developmental psychopathology research are discussed.     

Network Analysis in Community Psychology: Looking Back,Looking Forward

Network analysis holds promise for community psychology given the field's aim to understand the interplay between individuals and their social contexts. Indeed, because network analysis focuses explicitly on patterns of relationships between actors, its theories and methods are inherently extra‐individual in nature and particularly well suited to characterizing social contexts. But, to what extent has community psychology taken advantage of this network analysis as a tool for capturing context? To answer these questions, this study provides a review of the use network analysis in articles published in American Journal of Community Psychology . Looking back, we describe and summarize the ways that network analysis has been employed in community psychology research to understand the range of ways community psychologists have found the technique helpful. Looking forward and paying particular attention to analytic issues identified in past applications, we provide some recommendations drawn from the network analysis literature to facilitate future applications of network analysis in community psychology.     

Differences in attributions of mental illness and social distance for portrayals of four mental disorders

For individuals with mental illness, others' perceptions of mental illness often limit integration into communities. Perceptions of mental illness manifest as social stigma in the form of social distance and may depend on individuals' attributions of the origins of mental illness. 180 university students completed a survey on attribution of mental illness and social distance across several disorders (psychiatric and physical). Participants indicated greater social distance for severe mental illness (i.e., schizophrenia) than less severe mental illness and physical illness. More desire for social distance may be related to unfamiliarity with severe mental illness rather than less severe mental and physical illnesses. Greater understanding of how individuals perceive mental illness can inform efforts to educate the public.     

Categorization by groups and individuals

Categorization is a core psychological process that is central to decision making. While a substantial amount of research has been conducted to examine individual categorization behavior, little is known about how the outputs of individual and group categorization may differ. Four experiments demonstrate that group categorization differs systematically from individual categorization in the structural dimension of category breadth: categorizing the same set of items, groups tend to create a larger number of smaller categories than individuals. This effect of social context is a function of both taskwork and teamwork. In terms of taskwork, groups’ greater available knowledge mediates differences in category breadth between individuals and groups by increasing utilized knowledge (study 2). In terms of teamwork, task conflict moderates the effect of social context on category breadth (study 3). Moreover, the experience of categorizing individually or in a group influences individuals’ subsequent judgments (study 4).     

Maintenance Cardiac Rehabilitation Exercise Adherence: Effects of Task and Self-Regulatory Self-Efficacy

The purpose of this study was to examine whether self-efficacy functions as a determinant and outcome of maintenance cardiac rehabilitation exercise adherence. Specifically, the purpose of this prospective observational study was to examine which types of self-efficacy–task or self-regulatory–predicted maintenance exercise attendance. In addition, the relative contribution of self-efficacy to the prediction of perceived exercise intensity was examined. Self-regulatory self-efficacy was operationalized as confidence to schedule and manage exercise sessions, while task self-efficacy concerned confidence to perform aspects of the exercise session and to walk for increasing durations. Sixty-four maintenance cardiac rehabilitation participants completed social cognitive measures and provided attendance data for 4 weeks prior to and 4 weeks following assessment. Results indicated that scheduling and walking self-efficacy significantly predicted cardiac rehabilitation exercise attendance. Task self-efficacy was the best predictor of perceived exercise intensity. Past exercise attendance significantly predicted all 3 dimensions of self-efficacy. Findings are discussed with respect to self-efficacy theory and applications to the maintenance of cardiac rehabilitation exercise adherence.     

When the means justify the ends: effects of observability on the procedural fairness and distributive fairness of resource allocations

While there is substantial research examining how recipients react to allocations that vary in procedural fairness (Colquitt, Conlon, Wesson, Porter, & Ng, 2001 ), previous research has not examined how those dividing resources among themselves and others manipulate procedural fairness (Tyler & Smith, 1998 ). In this paper, we introduce a measure that allows us to compare procedural fairness across resource allocations, and we use an experimental procedure in which participants vary the procedural fairness of their allocations. In three studies, we show that those dividing resources make proactive tradeoffs between distributive and procedural fairness. Participants increased the procedural fairness of their allocations when they knew recipients would observe their procedures, but they were less likely to divide the resources equally among recipients. The decreased emphasis on distributive fairness when procedures were observable resulted in higher joint outcomes, suggesting that the observability of procedures has important implications for the efficiency of resource allocation in groups. Copyright © 2006 John Wiley & Sons, Ltd.     

Good Guys Can Finish First: How Brand Reputation Affects Extension Evaluations

This research investigates how consumer evaluations of brand extensions are affected by two distinct types of brand reputation: a reputation for social responsibility built through commitments to societal obligations, versus a reputation for ability developed by delivering quality offerings. Through six studies, we establish that while the two reputation types equivalently influence high fit brand extensions, a reputation for social responsibility (vs. ability) leads to more favorable responses toward low fit brand extensions by inducing a desire to support and help the company that has acted to benefit consumers. Furthermore, the facilitative effect of social responsibility on low fit brand extension evaluations is more prominent among consumers who value close relationships and caring for one another's well‐being (i.e., those with high communal orientation), and tends to dissipate when social responsibility initiatives are tainted with self‐serving motives (i.e., when these initiatives are aligned with the brand's core offering).     

How Financial Constraints Influence Consumer Behavior: An Integrative Framework

Financial constraints are economic limitations on behavior. Given that millions of people experience chronic or episodic financial constraints, we sought to review research that provides insight into how they affect consumer behavior. We propose an integrative framework that draws insights from multiple literatures that have examined financial constraints from different perspectives. The framework distinguishes between four perspectives, which are rooted in literatures on resource scarcity, choice restriction, social comparison, and environmental uncertainty and highlights different temporal stages of responding to financial constraints, distinguishing between reacting, coping, and adapting. Beyond the obvious negative effects of financial constraints, our framework emphasizes consumer resilience, highlighting that consumers often successfully cope with and devise adaptive strategies to deal with financial constraints. By broadening the behavioral and temporal scope of financial constraints considered within consumer psychology, this framework helps us to understand the often strong and sometimes counterintuitive effects of financial constraints on consumer behavior.